The proposed method or re-embedding tissue specimens from paraffin in epoxy resins (epon, araldite, etc.) permits study of the same material at histo-, cyto-, and ultrastructural levels by modern morphological methods and thus detecting a number of additional morphological signs important for thanatogenesis. The proposed method provides objective results and improves the quality of forensic medical studies in general.
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When multiple instance learning meets foundation models: Advancing histological whole slide image analysis.
Med Image Anal
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Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Southern Medical University, Guangzhou, China. Electronic address:
Deep multiple instance learning (MIL) pipelines are the mainstream weakly supervised learning methodologies for whole slide image (WSI) classification. However, it remains unclear how these widely used approaches compare to each other, given the recent proliferation of foundation models (FMs) for patch-level embedding and the diversity of slide-level aggregations. This paper implemented and systematically compared six FMs and six recent MIL methods by organizing different feature extractions and aggregations across seven clinically relevant end-to-end prediction tasks using WSIs from 4044 patients with four different cancer types.
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Sci Rep
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Structural Biophysics Research Group, School of Optometry & Vision Sciences, Cardiff University, Cardiff, Wales, UK.
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School of Journalism and Communication, Shandong University, Jinan, China.
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Ann Anat
January 2023
Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. Electronic address:
Purpose: To expand the routine of pathological diagnostics of surgical keratoplasty specimens via transmission electron microscopy. The target was to identify the best re-embedding method for optimal structural preservation of formalin fixed paraffin embedded (FFPE) corneal tissue re-embedded into resin for ultrastructural analysis.
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